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Fault detection of wireless sensor networks has been studied intensively in recent years under the assumption that manager nodes are default probe stations. However, some additional fault detection tasks will make so busy the manager node to be failed more quickly. Moreover, at the first beginning period most sensor networks are working normally without any(More)
We previously found that remote ischemic perconditioning (RIPerc) was effective in attenuating myocardial injury during cardiac surgery. Given that microRNAs (miRs) act as an important player in ischemic/reperfusion (I/R) injury and apoptosis, this study aimed to investigate whether RIPerc reduces apoptosis in atrial myocardium and which apoptosis-related(More)
Fault detection for wireless sensor networks (WSNs) has been studied intensively in recent years. Most existing works statically choose the manager nodes as probe stations and probe the network at a fixed frequency. This straightforward solution leads however to several deficiencies. Firstly, by only assigning the fault detection task to the manager node(More)
In this paper, we present a distributed fault detection algorithm based on k-means clustering for WSN. The nodes within a cluster are divided into three sub-clustering according to their measurements' similarity. We conclude the sensor nodes' working state from the N recent states of sub-clustering, so as to detect, locate, and get rid of the fault nodes.(More)
In WSN, Clustering Routing Algorithm can effectively reduce network energy consumption and prolong network lifetime well. But existed Clustering Routing Algorithms are usually location-based, where data correlations are not considered. There is still data redundancy in the terminal. This paper proposes a data correlation-based virtual clustering approach.(More)
Coverage control is one of the most important technologies in Wireless Sensor Network (WSN). In the precondition of better coverage quality, how to format optimal coverage with least sensors is a significant problem to be solved. A new incomplete coverage control based on target tracking sensor network which called mobile-constrained optimal target tracking(More)
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